Marsh McLennan | AI Native intern | India | Interview Experience & Process
Summary
I went through a multi‑stage interview process at Marsh McLennan for an AI Native intern role in India, which included an online MCQ, full‑stack coding assessments, and a final technical/HR interview.
Full Experience
Overall Process
The selection process consisted of:
- Round 1 – Online MCQ Assessment
- Round 2 – Full-Stack Coding / Technical Assessment
- Round 2.1 – Optional Coding/Technical Assessment
- Final Interview Round
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Final Takeaway
The process appears to combine objective technical screening + hands-on coding/full-stack assessment + resume/technical interview.
Because interview experiences vary by role and hiring batch, the exact questions and number of rounds should not be treated as fixed company‑wide rules.
Interview Questions (1)
Count Vowels in a String
Given a string, count the number of vowels (a, e, i, o, u) present in it.
Preparation Tips
Tier 1 — Must Know
- OOP
- SQL
- DBMS
- Java/programming fundamentals
- Arrays & Strings
- HashMap/HashSet
- Basic React
- REST APIs
- Project explanation
Tier 2 — Important
- Linked List
- Stack/Queue
- Trees
- Searching/Sorting
- OS fundamentals
- Computer Networks
- Authentication/JWT
- HTTP
- Git
Tier 3 — Good to Know
- System design fundamentals
- Caching
- Load balancing
- Microservices
- Docker
- Cloud fundamentals
- CI/CD